ECTS - Theory of Differential Equations
Theory of Differential Equations (MATH562) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Theory of Differential Equations | MATH562 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer. |
Course Lecturer(s) |
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Course Objectives | The course aims to introduce and present Initial Value Problem: Existence and Uniqueness of Solutions; Continuation of Solutions; Continuous and Differential Dependence of Solutions. Linear Systems: Linear Homogeneous And Nonhomogeneous Systems with Constant and Variable Coefficients; Structure of Solutions of Systems with Constant and Periodic Coefficients; Higher Order Linear Differential Equations; Sturmian Theory, Stability: Lyapunov Stability and Instability. Lyapunov Functions; Lyapunov's Second Method; Quasilinear Systems. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | IVP: existence and uniqueness, continuation and continuous dependence of solutions; linear systems: linear (non)homogeneous systems with constant and variable coefficients; structure of solutions of systems with periodic coefficients; higher order linear differential equations; Sturmian theory, stability: Lyapunov (in)stability, Lyapunov functions |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Initial Value Problem (IVP): Examples of (IVP) | Read related sections in references |
2 | Fundamental Theory: Preliminaries, Existence and Uniqueness of Solutions; | Read related sections in references |
3 | Continuation of Solutions; Continuity and Differentiability of Solutions with respect to parameters | Read related sections in references |
4 | Linear Systems: Preliminaries, Linear Homogeneous and Nonhomogeneous | Read related sections in references |
5 | Linear Systems with Constant and Variable Coefficients | Read related sections in references |
6 | Structure of Solutions of Systems with Constant and Periodic Coefficients; | Read related sections in references |
7 | Midterm | |
8 | Higher Order Linear Differential Equations; | Read related sections in references |
9 | Sturmian Theory: Sturm Comparison Theory, Sturm Oscillation Theory. | Read related sections in references |
10 | Stability: Definitions of Stability and Boundedness. | Read related sections in references |
11 | Lyapunov Stability and Instability | Read related sections in references |
12 | Lyapunov Functions; Lyapunav stability and Instability results. Lyapunov's Second Method;. | Read related sections in references |
13 | Quasilinear Systems; Linearization | Read related sections in references |
14 | Stability of an Equilibrium and Stable Manifold Theorem for Nonautonomous Differential Equations | Read related sections in references |
15 | Revision. | |
16 | Midterm |
Sources
Course Book | 1. Richard K. Miller, Anthony N. Michel, Ordinary Differential Equations, 1982, Academic Press |
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Other Sources | 2. W. Kelley, A. Peterson, The Theory of Differential Equations Classical and Qualitative,2004, Prentice–Hall. |
3. C. A. Swanson, Comparison and Oscillation Theory, 1968, Academic Press. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 5 | 30 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 7 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | |
Supportive Courses | X |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area. | X | ||||
2 | Has the ability to obtain, to evaluate, to interpret and to apply information by doing scientific research. | X | ||||
3 | Can apply gained knowledge and problem solving abilities in inter-disciplinary research. | X | ||||
4 | Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary. | X | ||||
5 | Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study. | X | ||||
6 | Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework. | X | ||||
7 | Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility. | X | ||||
8 | Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation. | X | ||||
9 | Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. | X | ||||
10 | Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge. | X | ||||
11 | Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 3 | 42 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 5 | 3 | 15 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 77 |